File.AppendAllText("D:/Faks/2. letnik/2. semester/Namenska programska oprema (C Linux)/Projekt/XmasShooterService/XmasShooter/XmasShooter.arff", "\n" + completedString + "," + santaHitString + "," + secondsLeft + "," + reindeersLeft + "," + moneyEarned + "," + weapon + "," + "?");

            weka.classifiers.Classifier cl = new weka.classifiers.trees.LMT();
            weka.core.Instances instance1 = new weka.core.Instances(new java.io.FileReader("D:/Faks/2. letnik/2. semester/Namenska programska oprema (C Linux)/Projekt/XmasShooterService/XmasShooter/XmasShooter.arff"));
            instance1.setClassIndex(instance1.numAttributes() - 1);
            weka.core.Instances instance2 = new weka.core.Instances(new java.io.FileReader("D:/Faks/2. letnik/2. semester/Namenska programska oprema (C Linux)/Projekt/XmasShooterService/XmasShooter/XmasShooter.arff"));
            instance2.setClassIndex(instance2.numAttributes() - 1);

            int folds = 10;

            java.util.Random rand = new java.util.Random(1);

            weka.classifiers.Evaluation eval = new weka.classifiers.Evaluation(instance1);
            eval.crossValidateModel(cl, instance1, folds, rand);

            cl.buildClassifier(instance1);

            weka.core.Instances instance3 = new weka.core.Instances(instance2);

            double clsLabel = cl.classifyInstance(instance2.instance(instance1.size() - 1));
            instance3.instance(instance1.size() - 1).setClassValue(clsLabel);
            return (int)clsLabel;